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github.com/Jeeseung-Park/Styleformer
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Functions
313 in github.com/Jeeseung-Park/Styleformer
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Functions
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4
Function
report0
r"""Broadcasts the given set of scalars by the first process (`rank = 0`), but ignores any scalars provided by the other processes. See `repor
torch_utils/training_stats.py:103
Function
report_metric
(result_dict, run_dir=None, snapshot_pkl=None)
metrics/metric_main.py:67
Method
resolution
(self)
training/dataset.py:124
Function
scale
(width, height, img)
dataset_tool.py:206
Function
set_cache_dir
(path: str)
dnnlib/util.py:120
Function
setup_filter
r"""Convenience function to setup 2D FIR filter for `upfirdn2d()`. Args: f: Torch tensor, numpy array, or python list of the sh
torch_utils/ops/upfirdn2d.py:72
Method
trainable_gen
()
training/networks.py:534
Method
trainable_gen
()
training/networks_Discriminator.py:243
Function
training_loop
( run_dir = '.', # Output directory. training_set_kwargs = {}, # Option
training/training_loop.py:88
Function
tuple_product
Calculate the product of the tuple elements.
dnnlib/util.py:163
Function
upfirdn2d
torch_utils/ops/upfirdn2d.cpp:16
Function
upsample2d
r"""Upsample a batch of 2D images using the given 2D FIR filter. By default, the result is padded so that its shape is a multiple of the input.
torch_utils/ops/upfirdn2d.py:308
Function
zip_write_bytes
(fname: str, data: Union[bytes, str])
dataset_tool.py:279
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